# Introduction

## 🥁 **Welcome to Zentrun**

> The fastest way to turn your automation workflows or GPT agents into monetizable apps — without writing a single line of code.

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#### 👀 What is Zentrun?

Zentrun helps **creators, consultants, and automation builders** turn their expertise or workflows into **ready-to-use AI-powered apps**.

You can sell them, share them, or offer them to your audience in minutes.

[Quick Guide](/zentrun-documentation/quick-guide.md)

[FAQ](/zentrun-documentation/faq-frequently-asked-questions.md)

[Need Help to Build Apps](/zentrun-documentation/need-help-to-build-apps.md)

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#### ✨ What can you build?

With Zentrun, you can create...

* 🧠 **Consulting agents**

  → Business strategy diagnosis, tax-saving advice, etc.
* 🎨 **Creator tools**

  → Composition Feedback Program, UI/UX Feedback Program, Styling Feedback Program, etc.
* 📚 **Knowledge-based assistants**

  → PDF-based study coaches, self-development GPTs, etc.
* 🤖 **Automation workflows**

  → Self-Help Shorts Generator, Dropshipping Profit Comparison AI, AI Resume Builder, etc.
* 👨‍💼 **Agency workflows**

  → Client management for agencies – payments, request input, and result delivery in one place.

> 👉 Check real examples → (or link to an "Inspiration Library" page)

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#### 🧪 How does it work?

Build workflow or prompt → Connect to Zentrun → Launch as a monetizable service

1. Build:

   Use **Activepieces**, **n8n**, [**Make.com**](http://Make.com), or your own API
2. Import:

   Upload your endpoints into Zentrun
3. Monetize:

   Add descriptions, pricing, and publish it

***

#### Need help?

* 💬 Get free 1:1 support through the chatbot in the bottom-right corner of [Zentrun app](https://app.zentrun.com).


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://zentrun.gitbook.io/zentrun-documentation/introduction.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
